Albert Ulysses

Data Scientist

https://www.opentalent.in/albert-ulysses

Software Engineer in San Jose, CA.

San Jose, CanadaMember since June 23, 2026

Key Strengths

Demonstrated proficiency in Python, a core language for Data Science, through multiple personal projects.
Experience with data analysis and scientific computing, as evidenced by the 'PFAS-Analysis-and-Intervention' project.
Familiarity with Jupyter Notebooks, a common tool in data science workflows.
Exposure to various programming paradigms and languages (Rust, Zig, JavaScript, HTML, CSS) indicating a broad technical curiosity.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's project portfolio shows a strong inclination towards personal learning and exploration across various programming languages and domains. While there's a clear interest in data-related projects ('PFAS-Analysis-and-Intervention', 'mapylary'), the overall diversity of projects (e.g., 'command-line-rust', 'Zig-Lox-Port', 'Collabathon_2019') suggests a broad technical curiosity rather than a focused alignment with a specific data science role. The lack of professional experience or team-based projects makes it difficult to assess collaboration or cultural integration.

Soft Skills & Operational Fit

Insufficient data to assess soft skills or operational fit. No psychometric test results or interview feedback provided.

AI is analyzing your overall score…

Identifying your key strengths…

Evaluating your skill match against the job requirements…

Assessing your cultural and operational fit

Projects

Zig-Lox-Port

February 21, 2026 – Present

Porting Lox VM to Zig

View Project

PyLox

January 24, 2026 – Present

PyLox — repository

View Project

command-line-rust-solutions

June 17, 2024 – June 17, 2024

Solutions for Command Line Rust Book

View Project

workout-python

December 1, 2022 – December 1, 2022

My Solutions to the Python Workout Book

View Project

minigrep

December 1, 2022 – December 19, 2022

Grep implementation in Rust

View Project

mapylary

November 14, 2020 – November 16, 2020

An API wrapper for Mapilary

View Project

command-line-rust

March 5, 2020 – August 6, 2024

Code for Command-Line Rust (O'Reilly, 2024, ISBN 9781098109417)

View Project

radio_days

November 15, 2019 – December 8, 2022

An interactive radio experience for your daily commute

View Project

Collabathon_2019

November 14, 2019 – January 11, 2023

This repo is for participant of the Open Climate Collabathon to push specific code projects they build

View Project

PFAS-Analysis-and-Intervention

October 10, 2019 – August 20, 2020

“Interpretation of multiple time-point PFAS concentration data for a water district can provide insights into possible sources of contamination. However, thorough analyses can be complex and time-consuming. The goal of this project is to develop data analytic tools to expedite the analysis process for a water district, including statistical hypothesis testing of potential transport pathway factors, such as rainfall.

View Project

Key Strengths

Demonstrated proficiency in Python, a core language for Data Science, through multiple personal projects.
Experience with data analysis and scientific computing, as evidenced by the 'PFAS-Analysis-and-Intervention' project.
Familiarity with Jupyter Notebooks, a common tool in data science workflows.
Exposure to various programming paradigms and languages (Rust, Zig, JavaScript, HTML, CSS) indicating a broad technical curiosity.

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

Insufficient data to assess soft skills or operational fit. No psychometric test results or interview feedback provided.

Albert Ulysses

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Projects

Key Strengths

Cultural & Operational Fit